In this paper, we propose to
employ copulae to model a flexible, yet appropriate base distribution with the goal of gaining a NF that is able to solve the limitations of NFs discussed in Section .
We expect to gain powerful and robust PDF approximators by combining different marginals and properties of theoretical sound copulae (see for instance Chapter 8 in [1]}) with NFs, which allow for the
estimation of complex densities.
